Evaluation of Radiology Request Forms in a Tertiary Care Hospital: An Audit With a Focus on the Impact of Technological Intervention
Bibliographic record
Abstract
Radiology request forms are the basis of communication between referring physicians and radiologists. These are the sole documents on the basis of which a justification to carry out a radiological procedure is carried out. However, across the globe, there is a problem of inadequately filled radiology request forms. Several interventions like standardization and the use of technology have been proposed worldwide to overcome the shortcomings of inadequately filled radiology request forms. We carried out a two-phase audit assessing the impact of a technological intervention on the quality of radiology requests with the results showing marked improvement in key parameters. A subset analysis was also done to highlight the importance of radiology request forms by following the patients' treatment course. The remaining shortcomings highlight the importance of training sessions and refresher courses for junior doctors in order to familiarize them with the importance of adequately filled radiology request forms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".